Research on the Effectiveness of Labor Education for College Students Based on Big Data Technology

In order to analyze the effect of labor education (LE) for college students in college education, this paper combines big data technology to analyze the effectiveness of LE for college students. Moreover, this paper classifies the constraints of clustering effectiveness indicators and analyzes the c...

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Main Author: Siyue Yu
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2022/5328851
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author Siyue Yu
author_facet Siyue Yu
author_sort Siyue Yu
collection DOAJ
description In order to analyze the effect of labor education (LE) for college students in college education, this paper combines big data technology to analyze the effectiveness of LE for college students. Moreover, this paper classifies the constraints of clustering effectiveness indicators and analyzes the characteristics and applications of various criteria in detail. In addition, this paper compares the effectiveness criteria of several commonly used fuzzy clustering based on relative criteria and compares and analyzes the performance and evaluation effect of these criteria. On this basis, this paper proposes an improved effectiveness criterion. Through the controlled experiment, it can be seen that the LE for college students can effectively improve the various abilities of college students, and it has a certain auxiliary effect on the learning and growth of college students.
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institution Kabale University
issn 1687-5699
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spelling doaj-art-413adeaccd704d78a4c2cedf4dc1e0552025-02-03T01:20:36ZengWileyAdvances in Multimedia1687-56992022-01-01202210.1155/2022/5328851Research on the Effectiveness of Labor Education for College Students Based on Big Data TechnologySiyue Yu0School of Vehicle EngineeringIn order to analyze the effect of labor education (LE) for college students in college education, this paper combines big data technology to analyze the effectiveness of LE for college students. Moreover, this paper classifies the constraints of clustering effectiveness indicators and analyzes the characteristics and applications of various criteria in detail. In addition, this paper compares the effectiveness criteria of several commonly used fuzzy clustering based on relative criteria and compares and analyzes the performance and evaluation effect of these criteria. On this basis, this paper proposes an improved effectiveness criterion. Through the controlled experiment, it can be seen that the LE for college students can effectively improve the various abilities of college students, and it has a certain auxiliary effect on the learning and growth of college students.http://dx.doi.org/10.1155/2022/5328851
spellingShingle Siyue Yu
Research on the Effectiveness of Labor Education for College Students Based on Big Data Technology
Advances in Multimedia
title Research on the Effectiveness of Labor Education for College Students Based on Big Data Technology
title_full Research on the Effectiveness of Labor Education for College Students Based on Big Data Technology
title_fullStr Research on the Effectiveness of Labor Education for College Students Based on Big Data Technology
title_full_unstemmed Research on the Effectiveness of Labor Education for College Students Based on Big Data Technology
title_short Research on the Effectiveness of Labor Education for College Students Based on Big Data Technology
title_sort research on the effectiveness of labor education for college students based on big data technology
url http://dx.doi.org/10.1155/2022/5328851
work_keys_str_mv AT siyueyu researchontheeffectivenessoflaboreducationforcollegestudentsbasedonbigdatatechnology